Photos | Nighttime Spectacle
Aaron Donald takes in the stunning display of architecture and lighting on this Los Angeles building, complete with towering skyscrapers, lush palm trees, and a beautiful staircase.
BLIP-2 Description:
a large screen is on the side of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
fence photography high outdoors cathedral potted handrail summer condo alley plant urban pottery house stairs aaron donald area railing skyscraper starts lighting city night flag church garden path necklace office street sky building vegetation road architecture staircase jewelry nature palm planter shelter center vase terminal outdoor rise jar metropolis housing tree neighborhood accessories convention
Detected Text
iso
640
metering mode
5
aperture
f/1.8
focal length
2mm
latitude
34.05
longitude
-118.26
shutter speed
1/60s
camera make
Apple
camera model
date
2022-03-14T23:48:53.734000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(45.90%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.62%)
failure
(-0.78%)
harmonious color
(4.14%)
immersiveness
(3.17%)
interaction
(1.00%)
interesting subject
(4.91%)
intrusive object presence
(-5.27%)
lively color
(-11.19%)
low light
(99.90%)
noise
(-7.47%)
pleasant camera tilt
(-9.54%)
pleasant composition
(-19.25%)
pleasant lighting
(-24.84%)
pleasant pattern
(20.83%)
pleasant perspective
(26.00%)
pleasant post processing
(0.45%)
pleasant reflection
(-2.23%)
pleasant symmetry
(3.15%)
sharply focused subject
(0.63%)
tastefully blurred
(-5.48%)
well chosen subject
(-0.93%)
well framed subject
(0.92%)
well timed shot
(0.31%)
all
(3.11%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.